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🌊 Online machine learning in Python

Results 117 river issues
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## Versions **river version**: 0.11.1 **Python version**: 3.9 **Operating system**: Windows 10 **scipy**: 1.9.0 **numpy**: 1.22.4 We are getting very unusual results when using `learn_many` with linear regression. The results...

## Versions **`river` version**: 0.10.1 **Python version**: 3.10.2 ## Describe your task Keeping track of a rolling quantile over a large window. Once the RollingQuantile reaches the windows size, it...

## Versions **river version**: **Python version**: **Operating system**: ## Describe the bug ## Steps/code to reproduce ```python # Sample code to reproduce the problem # Please do your best to...

heyo! So this might be better suited for chantilly, but it's generally about river so I hope it's okay to put here. I'm creating a server that has a cluster...

## Versions **river version**: 0.7.1 **Python version**: 3.7 **Operating system**: ubuntu 20.04 ## Describe the bug I'm trying to make online tf-idf clustering using DBSTREAM and DenStream. Can I use...

**`creme` version**: 0.6.1 **Python version**: 3.7.7 **Operating system**: Ubuntu 20.04.1 LTS ## Estimated coefficients seem wrong for some scalers I am currently doing simulations and the **estimated weight seem wrong...

Performance

## Versions 0.19.0 python=3.8 ubuntu 18.04 ## Issue AMF integrated with River is very useful, but the unlimited growth of memory size restricts practical application. Could you please tell me...

Hello @MaxHalford, @hoanganhngo610, and everyone 👋, In https://github.com/online-ml/river/issues/1366, @MaxHalford showed interest in implementation of OnlinePCA and OnlineSVD methods in river. Given my current project involvement with online decomposition methods, I...

- Incremental PCA is already [implemented in scikit-learn](https://scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html) but seems like it is straightforward to implement. See [this paper](http://cs-www.cs.yale.edu/homes/el327/papers/opca.pdf) too. [This paper](https://arxiv.org/abs/1307.0032) looks quite interesting too. - [Streaming Principal Component...

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